Radim Bürget
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Ophthalmology top 2%
- Biomedical Engineering
- Co-authors
- Malay Kishore DuttaVáclav UherKamil ŘíhaAnushikha SinghParthasarathi MangipudiJustyna SkibińskaNirvana PopescuAsma Channa
- Topics
- Retinal Imaging and Analysis (17 papers)Digital Imaging for Blood Diseases (14 papers)Glaucoma and retinal disorders (12 papers)
- Cited by
- OphthalmologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
Radim Bürget
131 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 149
- Radiology, Nuclear Medicine and Imaging 557
- Computer Vision and Pattern Recognition 554
- Artificial Intelligence 443
- Ophthalmology 280
- Biomedical Engineering 224
Countries citing papers authored by Radim Bürget
This map shows the geographic impact of Radim Bürget's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Radim Bürget with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radim Bürget more than expected).
Fields of papers citing papers by Radim Bürget
This network shows the impact of papers produced by Radim Bürget. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Radim Bürget. The network helps show where Radim Bürget may publish in the future.
Co-authorship network of co-authors of Radim Bürget
This figure shows the co-authorship network connecting the top 25 collaborators of Radim Bürget. A scholar is included among the top collaborators of Radim Bürget based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Radim Bürget. Radim Bürget is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 25 | |
| 8 | 21 | |
| 9 | 13 | |
| 10 | 48 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 22 | |
| 14 | 21 | |
| 15 | 25 | |
| 16 | 13 | |
| 17 | 71 | |
| 18 | 159 | |
| 19 | Hierarchical feedback aggregation in IPTV | 1 |
| 20 | Scalability Issues with the Hierarchical Feedback Aggregation for Large-Scale IPTV Systems. | 1 |
About Radim Bürget
Radim Bürget is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Ophthalmology, having authored 139 papers that have together received 1.8k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (14 papers) and Glaucoma and retinal disorders (12 papers). The work is most often cited by research in Ophthalmology (280 citations), Computer Vision and Pattern Recognition (554 citations) and Radiology, Nuclear Medicine and Imaging (557 citations). Radim Bürget has collaborated with scholars based in Czechia, India and Finland. Frequent co-authors include Malay Kishore Dutta, Václav Uher, Kamil Říha, Anushikha Singh, Parthasarathi Mangipudi, Justyna Skibińska, Nirvana Popescu, Asma Channa, Rakesh Chandra Joshi and Carlos M. Travieso. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.